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1

G, Kurtz Thomas, ed. Markov processes: Characterization and convergence. New York: Wiley, 1986.

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2

Roberts, Gareth O. Convergence of slice sampler Markov chains. [Toronto: University of Toronto, 1997.

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3

Baxter, John Robert. Rates of convergence for everywhere-positive markov chains. [Toronto, Ont.]: University of Toronto, Dept. of Statistics, 1994.

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4

Roberts, Gareth O. Quantitative bounds for convergence rates of continuous time Markov processes. [Toronto]: University of Toronto, Dept. of Statistics, 1996.

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5

Roberts, Gareth O. On convergence rates of Gibbs samplers for uniform distributions. [Toronto: University of Toronto, 1997.

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6

Cowles, Mary Kathryn. Possible biases induced by MCMC convergence diagnostics. Toronto: University of Toronto, Dept. of Statistics, 1997.

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7

Yuen, Wai Kong. Applications of Cheeger's constant to the convergence rate of Markov chains on Rn. Toronto: University of Toronto, Dept. of Statistics, 1997.

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8

Cowles, Mary Kathryn. A simulation approach to convergence rates for Markov chain Monte Carlo algorithms. [Toronto]: University of Toronto, Dept. of Statistics, 1996.

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9

Wirsching, Günther J. The dynamical system generated by the 3n + 1 function. Berlin: Springer, 1998.

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10

Petrone, Sonia. A note on convergence rates of Gibbs sampling for nonparametric mixtures. Toronto: University of Toronto, Dept. of Statistics, 1998.

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11

Aguilera, Servet Martinez. Description ergodique des processus de Markov qui convergent vers l'équilibre associés aux K-systèmes. Grenoble: A.N.R.T. Université Pierre Mendès France Grenoble 2, 1986.

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12

Gibbs, Alison. Bounding convergence time of the Gibbs sampler in Bayesian image restoration. Toronto: University of Toronto, Dept. of Statistics, 1998.

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13

Pawar, Akhilesh. Probability And Statistics. New Delhi, India: Campus Books International, 2011.

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14

Prigent, Jean-Luc. Weak Convergence of Financial Markets. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003.

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15

Foata, Dominique. Processus stochastiques: Processus de Poisson, chaînes de Markov et martingales : cours et exercices corrigeś. Paris: Dunod, 2004.

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16

J, Anderson William. Continuous-time Markov chains: An applications-oriented approach. New York: Springer-Verlag, 1991.

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17

Prigent, Jean-Luc. Weak convergence of financial markets: Jean-Luc Prigent. Berlin: Springer, 2003.

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18

White, D. J. Markov decision processes. New York: John Wiley & Sons, 1993.

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19

1938-, Williams D., ed. Diffusions, Markov processes, and martingales. 2nd ed. Cambridge, U.K: Cambridge University Press, 2000.

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20

David, Williams, ed. Diffusions, Markov processes, and martingales: Foundations. Cambridge: Cambridge University Press, 2003.

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21

R, Gilks W., Richardson S, and Spiegelhalter D. J, eds. Markov chain Monte Carlo in practice. London: Chapman & Hall, 1996.

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22

R, Gilks W., Richardson S, and Spiegelhalter D. J, eds. Markov chain Monte Carlo in practice. Boca Raton, Fla: Chapman & Hall, 1998.

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23

Prabhu, N. U. (Narahari Umanath), 1924- and Tang Loon Ching, eds. Markov-modulated processes & semiregenerative phenomena. Singapore: World Scientific, 2009.

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24

Gwynne, Ewain. Percolation on uniform quadrangulations and SLE6 on √8/3-Liouville quantum gravity. Paris: Société mathématique de France, 2021.

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25

N, Limnios, ed. Semi-Markov chains and hidden semi-Markov models toward applications: Their use in reliability and DNA analysis. New York: Springer, 2008.

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26

Kurtz, Thomas G., and Stewart N. Ethier. Markov Processes: Characterization and Convergence. Wiley & Sons, Incorporated, John, 2008.

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27

Kurtz, Thomas G., and Stewart N. Ethier. Markov Processes: Characterization and Convergence. Wiley & Sons, Incorporated, John, 2009.

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28

Economic Growth and Convergence. Taylor & Francis Group, 2021.

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29

Ethier, Stewart N., and Thomas G. Kurtz. Markov Processes: Characterization and Convergence (Wiley Series in Probability and Statistics). Wiley-Interscience, 2005.

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30

Witkowski, Bartosz, Michał Bernardelli, and Mariusz Próchniak. Economic Growth and Convergence: Global Analysis Through Econometric and Hidden Markov Models. Taylor & Francis Group, 2021.

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31

Bernardelli, Michal. Economic Growth and Convergence: Global Analysis Through Econometric and Hidden Markov Models. Routledge, Chapman & Hall, Incorporated, 2023.

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32

Economic Growth and Convergence: Global Analysis Through Econometric and Hidden Markov Models. Taylor & Francis Group, 2021.

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33

Yuen, Wai Kong. Application of geometric bounds to convergence rates of Markov chains and Markov processes on Rn. 2001.

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34

Foata, Dominique, and Aimé Fuchs. Processus stochastiques, processus de poisson: Chaines de Markov et Martingales. Dunod, 2002.

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35

Initiation Aux Mathématiques des Processus de Diffusion, Contagion et Propagation. De Gruyter, Inc., 2020.

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36

Meyer, Paul-Andre. Processus de Markov: La Frontiere de Martin. Springer London, Limited, 2007.

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37

Kirkwood, James R. Markov Processes. Taylor & Francis Group, 2015.

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38

Kirkwood, James R. Markov Processes. Taylor & Francis Group, 2015.

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39

Kirkwood, James R. Markov Processes. Taylor & Francis Group, 2015.

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40

Markov Processes. Taylor & Francis Group, 2015.

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41

Markov Processes. CRC Press LLC, 2015.

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42

Cont Markov Chains (Pitman Research Notes in Mathematics). Chapman & Hall/CRC, 1991.

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43

Coelho, João Paulo, Tatiana M. Pinho, and José Boaventura-Cunha. Hidden Markov Models. Taylor & Francis Group, 2021.

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44

Walsh, John B., and Kai Lai Chung. Markov Processes, Brownian Motion, and Time Symmetry. Springer London, Limited, 2006.

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45

Weak convergence of financial markets: Jean-Luc Prigent. Berlin: Springer, 2003.

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46

Markov decision processes. Chichester [England]: John Wiley & Sons, 1993.

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47

Constrained Markov decision processes. Boca Raton: Chapman & Hall/CRC, 1999.

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48

Altman, Eitan. Constrained Markov Decision Processes. CRC Press LLC, 2021.

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49

Altman, Eitan. Constrained Markov Decision Processes. CRC Press LLC, 2021.

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50

Altman, Eitan. Constrained Markov Decision Processes. CRC Press LLC, 2021.

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